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Blokland G, Maleki N, Jovicich J, Mesholam-Gately R, DeLisi L, Turner J, Shenton M, Voineskos A, Kahn R, Roffman J, Holt D, Ehrlich S, Kikinis Z, Dazzan P, Murray R, Lee J, Sim K, Lam M, de Zwarte S, Walton E, Kelly S, Picchioni M, Bramon E, Makris N, David A, Mondelli V, Reinders A, Oykhman E, Morris D, Gill M, Corvin A, Cahn W, Ho N, Liu J, Gollub R, Manoach D, Calhoun V, Sponheim S, Buka S, Cherkerzian S, Thermenos H, Dickie E, Ciufolini S, Reis Marques T, Crossley N, Purcell S, Smoller J, van Haren N, Toulopoulou T, Donohoe G, Goldstein J, Keshavan M, Petryshen T, del Re E. MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in lateral ventricles and corpus callosum volume. Int J Clin Health Psychol 2024; 24:100458. [PMID: 38623146 PMCID: PMC11017057 DOI: 10.1016/j.ijchp.2024.100458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/02/2024] [Indexed: 04/17/2024] Open
Abstract
Background/Objective. Enlarged lateral ventricle (LV) volume and decreased volume in the corpus callosum (CC) are hallmarks of schizophrenia (SZ). We previously showed an inverse correlation between LV and CC volumes in SZ, with global functioning decreasing with increased LV volume. This study investigates the relationship between LV volume, CC abnormalities, and the microRNA MIR137 and its regulated genes in SZ, because of MIR137's essential role in neurodevelopment. Methods. Participants were 1224 SZ probands and 1466 unaffected controls from the GENUS Consortium. Brain MRI scans, genotype, and clinical data were harmonized across cohorts and employed in the analyses. Results. Increased LV volumes and decreased CC central, mid-anterior, and mid-posterior volumes were observed in SZ probands. The MIR137-regulated ephrin pathway was significantly associated with CC:LV ratio, explaining a significant proportion (3.42 %) of CC:LV variance, and more than for LV and CC separately. Other pathways explained variance in either CC or LV, but not both. CC:LV ratio was also positively correlated with Global Assessment of Functioning, supporting previous subsample findings. SNP-based heritability estimates were higher for CC central:LV ratio (0.79) compared to CC or LV separately. Discussion. Our results indicate that the CC:LV ratio is highly heritable, influenced in part by variation in the MIR137-regulated ephrin pathway. Findings suggest that the CC:LV ratio may be a risk indicator in SZ that correlates with global functioning.
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Affiliation(s)
- G.A.M. Blokland
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Faculty of Health, Medicine, and Life Sciences, Maastricht University, Netherlands
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - N. Maleki
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - J. Jovicich
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Trento, Italy
| | - R.I. Mesholam-Gately
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - L.E. DeLisi
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Cambridge Health Alliance, Cambridge, MA, United States
| | - J.A. Turner
- Department of Psychiatry and Behavioral Health, The Ohio State University, Columbus, OH, United States
| | - M.E. Shenton
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Veterans Affairs Boston Healthcare System, Brockton, MA, United States
| | - A.N. Voineskos
- Kimel Family Translational Imaging Genetics Laboratory, Department of Psychiatry, Research Imaging Centre, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry and Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - R.S. Kahn
- Brain Centre Rudolf Magnus, Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - J.L. Roffman
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - D.J. Holt
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - S. Ehrlich
- Division of Psychological & Social Medicine and Developmental Neurosciences, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Z. Kikinis
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States
| | - P. Dazzan
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - R.M. Murray
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - J. Lee
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | - K. Sim
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | - M. Lam
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Institute of Mental Health, Woodbridge Hospital, Singapore
- Analytical & Translational Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health, Glen Oaks, NY, USA
| | - S.M.C. de Zwarte
- Brain Centre Rudolf Magnus, Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - E. Walton
- Department of Psychology, University of Bath, Bath, United Kingdom
| | - S. Kelly
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
- Laboratory of NeuroImaging, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
- Trinity College Institute of Neuroscience, Trinity College Dublin, Dublin, Ireland
| | - M.M. Picchioni
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - E. Bramon
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
- Mental Health Neuroscience Research Department, UCL Division of Psychiatry, University College London, United Kingdom
| | - N. Makris
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
- Department of Neurology, Massachusetts General Hospital, Boston, MA, United States
- Department of Neurology, Harvard Medical School, Boston, MA, United States
| | - A.S. David
- Division of Psychiatry, University College London, London, United Kingdom
| | - V. Mondelli
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - A.A.T.S. Reinders
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - E. Oykhman
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - D.W. Morris
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics (NICOG) Centre and NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - M. Gill
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - A.P. Corvin
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - W. Cahn
- Brain Centre Rudolf Magnus, Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - N. Ho
- Institute of Mental Health, Woodbridge Hospital, Singapore
| | - J. Liu
- Genome Institute, Singapore
| | - R.L. Gollub
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - D.S. Manoach
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States
| | - V.D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA, United States
| | - S.R. Sponheim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, United States
| | - S.L. Buka
- Department of Epidemiology, Brown University, Providence, RI, United States
| | - S. Cherkerzian
- Department of Medicine, Division of Women's Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - H.W. Thermenos
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
| | - E.W. Dickie
- Kimel Family Translational Imaging Genetics Laboratory, Department of Psychiatry, Research Imaging Centre, Campbell Family Mental Health Institute, Centre for Addiction and Mental Health, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - S. Ciufolini
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - T. Reis Marques
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - N.A. Crossley
- Institute of Psychiatry, Psychology, and Neuroscience, King's College London, London, United Kingdom
- National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust, London, United Kingdom
| | - S.M. Purcell
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States
- Division of Psychiatric Genomics, Departments of Psychiatry and Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - J.W. Smoller
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - N.E.M. van Haren
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus Medical Centre, Rotterdam, The Netherlands
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - T. Toulopoulou
- Department of Psychology & National Magnetic Resonance Research Center (UMRAM), Aysel Sabuncu Brain Research Centre (ASBAM), Bilkent University, Ankara, Turkey
- Department of Psychiatry, Faculty of Medicine, National and Kapodistrian University of Athens, Athens, Greece
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - G. Donohoe
- Neuropsychiatric Genetics Research Group, Department of Psychiatry, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
- Cognitive Genetics and Cognitive Therapy Group, Neuroimaging and Cognitive Genomics (NICOG) Centre and NCBES Galway Neuroscience Centre, School of Psychology and Discipline of Biochemistry, National University of Ireland, Galway, Ireland
| | - J.M. Goldstein
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Department of Medicine, Division of Women's Health, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, United States
| | - M.S. Keshavan
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
- University of Pittsburgh Medical Center, Pittsburgh, PA, United States
| | - T.L. Petryshen
- Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - E.C. del Re
- Department of Psychiatry, Harvard Medical School, Boston, MA, United States
- Massachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center, Boston, MA, United States
- Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Veterans Affairs Boston Healthcare System, Brockton, MA, United States
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van Rijn L, Metz MJ, van der Velden PR, Mathijsen P, Swildens WE, Schellekens AFA, Cahn W, Milota MM, Zinkstok JR. 'I am proud of how I handled it'. Exploring the impact of the COVID-19 pandemic and related restrictions on well-being of adults with severe mental illness using qualitative methods. Health Expect 2024; 27:e13983. [PMID: 38348759 PMCID: PMC10862174 DOI: 10.1111/hex.13983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/10/2024] [Accepted: 01/24/2024] [Indexed: 02/15/2024] Open
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic and related restrictions globally impacted mental health, particularly for those with pre-existing severe mental illness (SMI). This qualitative study examined how adults with SMI perceived the effects of the COVID-19 pandemic and related restrictions in the Netherlands, focusing on their personal recovery, well-being and daily life, including an exploration of factors influencing these effects. METHODS Semi-structured interviews were conducted, audio-recorded and transcribed verbatim. Reflexive thematic analysis was applied. Purposive sampling was used to ensure diversity of individuals with SMI (i.e., age, gender, diagnosis, cultural background and mental healthcare institution). RESULTS Twenty participants (median age: 45 years [SD: 12, 8]; 11 females) were interviewed between May and July 2023. Findings revealed a wide range of experiences: while some individuals reported a negative impact on their existing psychiatric symptoms, others described adaptability, resilience and even positive effects of COVID-19 restrictions on their mental health and well-being. Factors influencing the heterogeneic perceptions of the COVID-19 pandemic and related restrictions include the availability of trusted social relationships and enduring interactions with health professionals. CONCLUSION Personalised support, both socially and professionally, is crucial for addressing fears, building resilience, reducing isolation and encouraging positive coping strategies for individuals with SMI during external crises. In this project, a participatory research approach that integrated the lived experience perspective helped uncover the unique perceptions of people with SMI with regard to the pandemic and related restrictions. PATIENT OR PUBLIC CONTRIBUTION The study used a participatory action research approach, with experts-by-experience involved in every stage of the project as part of the research team. This included engagement with the funding application process, recruitment strategies for interviews, developing the interview guide, piloting the interview, interpreting findings, and knowledge dissemination activities.
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Affiliation(s)
- L. van Rijn
- Department of PsychiatryRadboud University Medical Center, Donders Institute For Brain, Cognition, and BehaviorNijmegenThe Netherlands
- Department of Psychiatry, Brain CenterUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - M. J. Metz
- GGz BreburgInstitute for Mental Health CareBredaThe Netherlands
- Tranzo Scientific Center for Care and WellbeingTilburg UniversityTilburgThe Netherlands
| | | | - P. Mathijsen
- GGz BreburgInstitute for Mental Health CareBredaThe Netherlands
| | - W. E. Swildens
- Altrecht, Institute for Mental Health CareUtrechtThe Netherlands
- Inholland University of Applied ScienceAmsterdamThe Netherlands
| | - A. F. A. Schellekens
- Department of PsychiatryRadboud University Medical Center, Donders Institute For Brain, Cognition, and BehaviorNijmegenThe Netherlands
| | - W. Cahn
- Department of Psychiatry, Brain CenterUniversity Medical Center UtrechtUtrechtThe Netherlands
- Altrecht, Institute for Mental Health CareUtrechtThe Netherlands
| | - M. M. Milota
- Julius Center for Health Sciences and Primary CareUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - J. R. Zinkstok
- Department of PsychiatryRadboud University Medical Center, Donders Institute For Brain, Cognition, and BehaviorNijmegenThe Netherlands
- Department of Psychiatry, Brain CenterUniversity Medical Center UtrechtUtrechtThe Netherlands
- Karakter Child and Adolescent Mental Health CareNijmegenThe Netherlands
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Swildens WE, Kranenburg J, van Ens W, van Rijswijk D, Cahn W. [Lifestyle in young adults with and without a psychotic disorder]. Tijdschr Psychiatr 2024; 66:76-83. [PMID: 38512145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
Background Patients with psychotic disorders have a higher risk of physical illnesses on account of genetic predisposition, poorer access to healthcare, medication use, environmental factors and lifestyle. Because healthy lifestyle behaviour is established at young age, it is important to signal problems in good time. A lifestyle screening might be useful in this respect. Aim To describe the lifestyle characteristics of patients in a mental health clinic for young adults (age: 18-28 years) with early psychotic disorder based on parts of the instrument ‘Lifestyle-in-the-picture’ compared to healthy controls. We also discuss experiences of lifestyle coaches in applying ‘Lifestyle-in-the-picture’. Method Lifestyle characteristics and lifestyle behaviour of 90 patients with a psychotic disorder and 137 young adults from the general population were compared quantitatively. Additionally, interviews were held with lifestyle coaches as to the use of the instrument ‘Lifestyle-in-the-picture’. Results The young adult patients had considerably poorer results on lifestyle aspects than controls: increased body mass index (BMI 53% versus 18%), smoking, addiction and unhealthy eating and activity patterns. They were more dissatisfied with their physical and mental health. According to the lifestyle coaches, the ‘Lifestyle-in-the-picture’ instrument was a good starting point to work on improvement with patients since the instrument provided insight in the healthy and unhealthy aspects of their lifestyle and gave directions to set goals. Conclusions Young adults with a psychotic disorder have an unhealthy lifestyle and also more risk factors compared to controls. Lifestyle screening programmes are important to discuss health risks in time and which steps for improvement can be taken. The step from insight to actual more healthy behaviour is challenging.
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Dominicus LS, van Rijn L, van der A J, van der Spek R, Podzimek D, Begemann M, de Haan L, van der Pluijm M, Otte WM, Cahn W, Röder CH, Schnack HG, van Dellen E. fMRI connectivity as a biomarker of antipsychotic treatment response: A systematic review. Neuroimage Clin 2023; 40:103515. [PMID: 37797435 PMCID: PMC10568423 DOI: 10.1016/j.nicl.2023.103515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/31/2023] [Accepted: 09/22/2023] [Indexed: 10/07/2023]
Abstract
BACKGROUND Antipsychotic drugs are the first-choice therapy for psychotic episodes, but antipsychotic treatment response (AP-R) is unpredictable and only becomes clear after weeks of therapy. A biomarker for AP-R is currently unavailable. We reviewed the evidence for the hypothesis that functional magnetic resonance imaging functional connectivity (fMRI-FC) is a predictor of AP-R or could serve as a biomarker for AP-R in psychosis. METHOD A systematic review of longitudinal fMRI studies examining the predictive performance and relationship between FC and AP-R was performed following PRISMA guidelines. Technical and clinical aspects were critically assessed for the retrieved studies. We addressed three questions: Q1) is baseline fMRI-FC related to subsequent AP-R; Q2) is AP-R related to a change in fMRI-FC; and Q3) can baseline fMRI-FC predict subsequent AP-R? RESULTS In total, 28 articles were included. Most studies were of good quality. fMRI-FC analysis pipelines included seed-based-, independent component- / canonical correlation analysis, network-based statistics, and graph-theoretical approaches. We found high heterogeneity in methodological approaches and results. For Q1 (N = 17) and Q2 (N = 18), the most consistent evidence was found for FC between the striatum and ventral attention network as a potential biomarker of AP-R. For Q3 (N = 9) accuracy's varied form 50 till 93%, and prediction models were based on FC between various brain regions. CONCLUSION The current fMRI-FC literature on AP-R is hampered by heterogeneity of methodological approaches. Methodological uniformity and further improvement of the reliability and validity of fMRI connectivity analysis is needed before fMRI-FC analysis can have a place in clinical applications of antipsychotic treatment.
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Affiliation(s)
- L S Dominicus
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - L van Rijn
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J van der A
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - R van der Spek
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - D Podzimek
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M Begemann
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - L de Haan
- Department Early Psychosis, Academical Medical Centre of the University of Amsterdam, Amsterdam, Amsterdam, The Netherlands
| | - M van der Pluijm
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, The Netherlands; Department of Psychiatry, Amsterdam UMC, University of Amsterdam, The Netherlands
| | - W M Otte
- Department of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands
| | - W Cahn
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C H Röder
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - H G Schnack
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - E van Dellen
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands; Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Van Schothorst M, Den Bleijker N, Hendriksen I, Cahn W, De Vries N, Van Harten P, Deenik J. Effectiveness and implementation of a MUltidisciplinary Lifestyle focused approach in the Treatment of Inpatients with mental illness (MULTI+): a stepped wedge study protocol. Eur Psychiatry 2022. [PMCID: PMC9567619 DOI: 10.1192/j.eurpsy.2022.2250] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Introduction People with mental illness (MI) have a reduced life expectancy compared to the general population, mostly attributable to somatic diseases caused by poor physical health. Modifiable lifestyle factors are increasingly associated with the onset of somatic diseases in people with MI. Despite the increasing evidence for the efficacy of lifestyle interventions there is little change in routine clinical care. This discrepancy is referred to as the implementation gap and has caused a need for effectiveness and implementation research in real-world settings. Objectives This study investigates the health outcomes and implementation of a multidisciplinary lifestyle focused approach in treatment of inpatients with mental illness (MULTI+). Methods This is an open cohort stepped wedge cluster randomized trial in inpatients psychiatric wards of GGz Centraal. Three clusters are randomly allocated to one of the three pre-defined steps to integrate MULTI+. MULTI+ can be tailored to fit individual psychiatric wards and includes 10 core components aimed at improving lifestyle factors. The primary outcome is to investigate whether there is a greater decrease in the QRISK3 cardiovascular risk score after receiving MULTI+ as compared to treatment as usual. Secondary outcomes include somatic and mental health outcomes, lifestyle factors, and implementation factors. Results First results expected in 2022. Conclusions To our knowledge, this will be the first large-scale study evaluating the long-term effects of a multidisciplinary, multicomponent approach aimed at improving lifestyle factors. We expect that this approach will increase long-term sustainability and can serve as a potential blueprint for future implementation of lifestyle interventions to improve routine clinical care. Disclosure No significant relationships.
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Deenik J, Koomen L, Scheewe T, Van Deursen F, Cahn W. Cardiorespiratory fitness and self-reported physical activity levels of referring mental healthcare professionals, and their attitudes and referral practices related to exercise and somatic care. Eur Psychiatry 2022. [PMCID: PMC9567740 DOI: 10.1192/j.eurpsy.2022.1592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction
Physical activity (PA) interventions can improve mental and physical health in people with mental illness, especially when delivered by qualified exercise professionals. Also, the behaviour, engagement and support of referring mental healthcare professionals (HCP) seems essential, but research is scarce.
Objectives
Studying the physical fitness and PA of HCP and the relationship with their attitudes and referral practices related to PA interventions
Methods
HCP at the Dutch Association for Psychiatry conference (2019) were invited to an online questionnaire (demographic/work characteristics, stress, PA levels, knowledge/attitudes regarding PA and referral practices) and cycle ergometer test. Linear and logistic regression were used to study the strongest associations.
Results
115 HCP completed the questionnaire. 40 also completed the ergometer test. 43% (n=50) met the national PA guidelines (≥150min moderate-to-vigorous PA and ≥2x bone/muscle-strengthening exercises a week). Women, HCP in training and HCP with more stress were less active and less likely to meet PA guidelines. HCP with personal experience with an exercise professional were more active and met guidelines more often. Knowledge/attitudes on physical health and PA were positive. Patients were more often referred to PA interventions by HCP who met PA guidelines (OR=2.56, 95%BI=0.85–7.13) or had higher beliefs that exercise professionals can increase adherence to PA interventions (OR=3.72, 95%BI=1.52–9.14).
Conclusions
It’s positive that HCP report importance and relevance of PA in mental healthcare. Although there is strong evidence for PA interventions in the treatment of people with mental illness, referral to such interventions can partly depend on the PA behaviour and attitude of patients’ physician/clinician.
Disclosure
No significant relationships.
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Den Bleijker N, Van Schothorst M, Hendriksen I, Cahn W, Deenik J. The association between lifestyle factors, and physical and mental health in inpatients with MI: a network analysis. Eur Psychiatry 2022. [PMCID: PMC9567471 DOI: 10.1192/j.eurpsy.2022.1576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Introduction
People with mental illness (MI) have a reduced life expectancy compared to the general population, mostly attributable to somatic diseases caused by poor physical health. Lifestyle factors (exercise, sleep, diet, substance use) are associated with poor physical and mental health. Although lifestyle factors, and physical and mental health are believed to be interconnected, research has mainly focused on one-sided relationships. Currently, we are implementing a lifestyle focussed approach in treatment, in which we assess lifestyle factors as well as physical and mental health of people with MI on a large scale (˜850 places of residence).
Objectives
To investigate the association between lifestyle factors, and physical and mental health in people with MI.
Methods
Baseline data from an open cohort cluster randomized stepped wedge study. Lifestyle factors (exercise, sleep, diet, substance use), physical health, medication use and psychological health (symptoms, quality of life) were assessed using data from patient files and questionnaires. Associations will be analysed with network analyses.
Results
First results (N≈1600) show that 54% of patients have high blood pressure, 51% have excessive waist circumference, 46% are experiencing sleep problems, 71% smoke and 88% do not meet exercise guidelines. Patients experience a lower quality of life compared to the general population.
Conclusions
Initial results show that patients have poor physical health, low quality of life and an unhealthy lifestyle. Further analyses are currently being conducted to gain insight in the complex pattern between lifestyle factors, and physical and mental health. This can contribute to the improvement of routine clinical care.
Disclosure
No significant relationships.
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den Bleijker NM, van Schothorst MME, Hendriksen IJM, Cahn W, de Vries NK, van Harten PN, Deenik J. Effectiveness and implementation of a multidisciplinary lifestyle focused approach in the treatment of inpatients with mental illness (MULTI +): a stepped wedge study protocol. BMC Psychiatry 2022; 22:230. [PMID: 35361168 PMCID: PMC8973631 DOI: 10.1186/s12888-022-03801-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 02/19/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND People with mental illness have a reduced life expectancy compared to the general population. Despite the increasing evidence for the efficacy of lifestyle interventions there is little change in routine clinical care. This discrepancy is often referred to as the implementation gap and has caused a need for effectiveness and implementation research in real-world settings. Our study assesses the effectiveness and implementation of a multidisciplinary lifestyle focused approach in the treatment of inpatients with mental illness (MULTI +). METHODS An open cohort stepped wedge cluster randomized trial in inpatients psychiatric wards of GGz Centraal, the Netherlands. The wards are divided into three clusters based on geographical region. These clusters are randomly allocated to one of the three pre-defined steps to integrate MULTI + . MULTI + can be tailored to fit individual psychiatric wards and includes 10 core components aimed at improving lifestyle factors. The primary outcome is to investigate the difference in the mean QRISK3 score of patients receiving MULTI + compared to patients receiving TAU. Secondary outcomes include somatic and mental health outcomes, lifestyle factors, and implementation factors. Findings will be analysed using mixed model analyses. DISCUSSION The MULTI + study is the first large-scale study evaluating the long-term effects of a multidisciplinary, multicomponent approach aimed at improving lifestyle factors in routine inpatient mental health care. A limitation of this study is the risk of missing data due to the large-scale, real-world setting of this study. Furthermore, implementation monitoring and external events that may influence outcomes could be difficult to account for. Strengths of this study are the focus on effectiveness as well as implementation and the inclusion of both patient and health care professionals' perspectives. Effectiveness studies in routine clinical care can advance our knowledge on lifestyle interventions in real-world settings. TRIAL REGISTRATION ClinicalTrials.gov registration. Identifier: NCT04922749 . Retrospectively registered 3th of June 2021.
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Affiliation(s)
- N. M. den Bleijker
- grid.491215.a0000 0004 0468 1456Scientific Research Department, GGz Centraal, Amersfoort, the Netherlands ,grid.5477.10000000120346234Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - M. M. E. van Schothorst
- grid.491215.a0000 0004 0468 1456Scientific Research Department, GGz Centraal, Amersfoort, the Netherlands ,grid.5012.60000 0001 0481 6099School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | | | - W. Cahn
- grid.5477.10000000120346234Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - N. K. de Vries
- grid.5012.60000 0001 0481 6099Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - P. N. van Harten
- grid.491215.a0000 0004 0468 1456Scientific Research Department, GGz Centraal, Amersfoort, the Netherlands ,grid.5012.60000 0001 0481 6099School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
| | - J. Deenik
- grid.491215.a0000 0004 0468 1456Scientific Research Department, GGz Centraal, Amersfoort, the Netherlands ,grid.5477.10000000120346234Department of Psychiatry, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands ,grid.5012.60000 0001 0481 6099School for Mental Health and Neuroscience, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands
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van Dee V, Janssen EAM, Blom RM, Cahn W, van Mierlo HC, Mihaescu R, van Wullften Palthe J, Zijlstra R, Kok RM, Everaerd DS, Schellekens A, oviP-Consortium C. [Psychiatric symptoms and COVID-19: results of a national case register]. Tijdschr Psychiatr 2022; 64:558-565. [PMID: 36349850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
BACKGROUND Psychiatric disorders are associated with a more severe course of COVID-19. COVID-19 can also lead to psychiatric symptoms. AIM To gain insight into vulnerabilities and protective factors for the course of COVID-19 in a Dutch (neuro)psychiatric population. METHOD Patients were divided into three groups: patients with pre-existent mental disorders without and with new (neuro)psychiatric symptoms (NPS) during COVID-19 and patients without pre-existent mental disorders who developed de novo NPS during COVID-19. We summarize the characteristics of each group and compare the subgroups with inferential statistics. RESULTS 186 patients were included in the case register. Patients with NPS showed a more severe course of COVID-19. Mortality in patients with NPS was higher in patients with pre-existent mental disorders compared to patients without pre-existent mental disorders. The most frequently reported de novo psychiatric symptoms during COVID-19 were delirium (46-70%), anxiety (53-54%) and insomnia (18-42%). CONCLUSION NPS might be an expression of a more severe COVID-19 episode. In patients who developed NPS during COVID-19 we found evidence for a higher mortality risk in patients with pre-existent mental disorders. Extra vigilance for neuropsychiatric symptoms during COVID-19 is warranted.
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10
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Koomen LEM, de Boer JN, van den Eijnden MJM, Vos de Wael NMAM, Berg N, Wilting I, Cahn W. [Tapering of psychotropic drugs: current practice and needs of patients and their relatives]. Tijdschr Psychiatr 2022; 64:424-430. [PMID: 36040085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND The prevalence of mental illness has remained stable in recent decades, yet the use of psychotropic drugs has increased. This trend suggests that psychotropic drugs are being prescribed with an unnecessary frequency. Internationally, there is growing attention for deprescribing. AIM To investigate what experiences and needs patients and their loved ones/relatives have with regard to deprescribing of psychotropics. METHOD An online questionnaire was distributed among members of the MIND mental health care panel, which consists of (former) patients with a psychiatric disorder and their loved ones. RESULTS A total of 564 respondents took part in this survey. Most patients have phased out/stopped their psychotropic drugs (83.8%). This was usually done at the initiative of the patient (66.7%), in consultation with the practitioner (72.9%). The practitioner only took the initiative to deprescribe in 15.1% of the cases. In 68.6% tapering was not discussed at the start of psychotropic drug use. Patients did not experience willingness from practitioners in deprescribing, and would like to discuss deprescribing more often (79.5%). CONCLUSION There is an undeniable demand among patients and near ones for more emphasis on deprescribing of psychotropic drugs. We advise to include this topic in the shared decision making process.
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Boersma H, Peters M, Cahn W, Verhoeff J. PO-1504 The effect of psychiatric comorbidities on treatment decisions for - and survival after radiotherapy. Radiother Oncol 2021. [DOI: 10.1016/s0167-8140(21)07955-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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van Haren N, Cahn W, Hulshoff Pol H, Kahn R. Schizophrenia as a progressive brain disease. Eur Psychiatry 2020; 23:245-54. [DOI: 10.1016/j.eurpsy.2007.10.013] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/04/2007] [Revised: 10/11/2007] [Accepted: 10/18/2007] [Indexed: 01/06/2023] Open
Abstract
AbstractThere is convincing evidence that schizophrenia is characterized by abnormalities in brain volume. At the Department of Psychiatry of the University Medical Centre Utrecht, Netherlands, we have been carrying out neuroimaging studies in schizophrenia since 1995. We focused our research on three main questions. First, are brain volume abnormalities static or progressive in nature? Secondly, can brain volume abnormalities in schizophrenia be explained (in part) by genetic influences? Finally, what environmental factors are associated with the brain volume abnormalities in schizophrenia?Based on our findings we suggest that schizophrenia is a progressive brain disease. We showed different age-related trajectories of brain tissue loss suggesting that brain maturation that occurs in the third and fourth decade of life is abnormal in schizophrenia. Moreover, brain volume has been shown to be a useful phenotype for studying schizophrenia. Brain volume is highly heritable and twin and family studies show that unaffected relatives show abnormalities that are similar, but usually present to a lesser extent, to those found in the patients. However, also environmental factors play a role. Medication intake is indeed a confounding factor when interpreting brain volume (change) abnormalities, while independent of antipsychotic medication intake brain volume abnormalities appear influenced by the outcome of the illness.In conclusion, schizophrenia can be considered as a progressive brain disease with brain volume abnormalities that are for a large part influenced by genetic factors. Whether the progressive volume change is also mediated by genes awaits the results of longitudinal twin analyses. One of the main challenges for the coming years, however, will be the search for gene-by-environment interactions on the progressive brain changes in schizophrenia.
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van Helvoort MA, van Dee V, Dirks A, Everaerd DS, Metz MJ, van Schijndel MA, Tendolkar I, Zinkstok JR, Cahn W, Schellekens A. [Not Available]. Tijdschr Psychiatr 2020; 62:739-742. [PMID: 32910443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Course of covid-19 infections and impact on mental health; setting up a national case register.
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Deenik J, Vermeulen JM, Mocking RJT, Van Assche E, Cahn W. [Lifestyle as medicine in psychiatry]. Tijdschr Psychiatr 2020; 62:920-922. [PMID: 33443741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
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Koomen LEM, Roke Y, Cahn W. [Evidence based eHealth applications targeting improvement of lifestyle habits of people with severe mental illness]. Tijdschr Psychiatr 2020; 62:992-997. [PMID: 33443751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
People with severe mental illness (smi) often suffer from long lasting psychiatric symptoms, have a lower quality of life and a worse physical condition compared to the general population. Healthy lifestyle habits improve mental and physical health. EHealth (digital applications in healthcare) could play a role in the improvement of lifestyle habits in this population.<br/> AIM: To provide an overview of evidence based eHealth applications targeting improvement of lifestyle habits of people with smi.<br/> METHOD: We performed a narrative rapid review.<br/> RESULTS: There are many eHealth applications targeting improvement of lifestyle habits, but few are specifically targeting the psychiatric population and evidence based. Most studies concerned small pilot studies.<br/> CONCLUSION: EHealth applications might be used as a support in the guidance and treatment of unhealthy lifestyle habits in people with smi, however more research is needed.
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van Waarde JA, van Schijndel MA, Cahn W. [Integral care necessary for patients with complex somatic, psychic and social problems]. Tijdschr Psychiatr 2019; 61:12-13. [PMID: 30640400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
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17
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Kwakernaak S, Swildens WE, Theunissen JR, de Valk GJJ, Cahn W, Janssen RTJM. [Regional healthcare labels: differences in care needs and psychosocial functioning]. Tijdschr Psychiatr 2019; 61:305-316. [PMID: 31180569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Severe mental illnesses (SMI) are associated with high mental healthcare and other healthcare costs. In 2012, mental healthcare labels were developed to create more transparency between insurance companies, municipalities, and mental healthcare. The labels are based on care intensity, and should provide a regional overview of the present groups of patients with SMI.<br/> AIM: Explore the functionality and validity of the used labels in relation to needs for care and psychosocial functioning.<br/> METHOD: The ROM data (needs for care, functioning) from 706 patients were tested per label by Chi-square tests and ANOVAs. For two high complex labels (alarming care avoiders and persons with safety risks), repeated measures ANOVAs and McNemar tests were used to analyse changes in functioning and needs over time.<br/> RESULTS: To a limited extent, the labels were distinctive in care needs and functioning. The most restrictions in functioning and (unfulfilled) needs were present in the labels 'alarming care avoiders' and 'avoiding danger'. These findings were stable over time.<br/> CONCLUSION: The labels are not sufficiently distinctive. To enhance regional care planning, it is desirable to combine existing information on healthcare labels with information on care needs and functioning. KEY WORDS functioning, mental healthcare labels, needs for care, routine outcome monitoring, severe mental illness.
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de Nijs J, Schnack HG, Koevoets MGJC, Kubota M, Kahn RS, van Haren NEM, Cahn W. Reward-related brain structures are smaller in patients with schizophrenia and comorbid metabolic syndrome. Acta Psychiatr Scand 2018; 138:581-590. [PMID: 30264457 DOI: 10.1111/acps.12955] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/13/2018] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Metabolic syndrome (MS) is highly prevalent in schizophrenia and often a consequence of unhealthy behaviour. Reward-related brain areas might be associated with MS, since they play a major role in regulating health behaviour. This study examined the relationship between MS and brain volumes related to the reward system in schizophrenia. METHOD We included patients with schizophrenia, with MS (MS+; n = 23), patients with schizophrenia, without MS (MS-; n = 48), and healthy controls (n = 54). Global brain volumes and volumes of (sub)cortical areas, part of the reward circuit, were compared between patients and controls. In case of a significant brain volume difference between patients and controls, the impact of MS in schizophrenia was examined. RESULTS Patients had smaller total brain (TB; P = 0.001), GM (P = 0.010), larger ventricles (P = 0.026), and smaller reward circuit volume (P < 0.001) than controls. MS+ had smaller TB (P = 0.017), GM (P = 0.008), larger ventricles (P = 0.015), and smaller reward circuit volume (P = 0.002) than MS-. MS+ had smaller orbitofrontal cortex (OFC; P = 0.002) and insula volumes (P = 0.005) and smaller OFC (P = 0.008) and insula cortical surface area (P = 0.025) compared to MS-. CONCLUSION In schizophrenia, structural brain volume reductions in areas of the reward circuitry appear to be related to comorbid MS.
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Affiliation(s)
- J de Nijs
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - H G Schnack
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - M G J C Koevoets
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - M Kubota
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Functional Brain Imaging Research, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, Chiba, Japan
| | - R S Kahn
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Department of Psychiatry, Icahn School of Medicine, Mount Sinai, NY, USA
| | - N E M van Haren
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - W Cahn
- Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Blakey R, Ranlund S, Zartaloudi E, Cahn W, Calafato S, Colizzi M, Crespo-Facorro B, Daniel C, Díez-Revuelta Á, Di Forti M, Iyegbe C, Jablensky A, Jones R, Hall MH, Kahn R, Kalaydjieva L, Kravariti E, Lin K, McDonald C, McIntosh AM, Picchioni M, Powell J, Presman A, Rujescu D, Schulze K, Shaikh M, Thygesen JH, Toulopoulou T, Van Haren N, Van Os J, Walshe M, Murray RM, Bramon E. Associations between psychosis endophenotypes across brain functional, structural, and cognitive domains. Psychol Med 2018; 48:1325-1340. [PMID: 29094675 PMCID: PMC6516747 DOI: 10.1017/s0033291717002860] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
BACKGROUND A range of endophenotypes characterise psychosis, however there has been limited work understanding if and how they are inter-related. METHODS This multi-centre study includes 8754 participants: 2212 people with a psychotic disorder, 1487 unaffected relatives of probands, and 5055 healthy controls. We investigated cognition [digit span (N = 3127), block design (N = 5491), and the Rey Auditory Verbal Learning Test (N = 3543)], electrophysiology [P300 amplitude and latency (N = 1102)], and neuroanatomy [lateral ventricular volume (N = 1721)]. We used linear regression to assess the interrelationships between endophenotypes. RESULTS The P300 amplitude and latency were not associated (regression coef. -0.06, 95% CI -0.12 to 0.01, p = 0.060), and P300 amplitude was positively associated with block design (coef. 0.19, 95% CI 0.10-0.28, p 0.38). All the cognitive endophenotypes were associated with each other in the expected directions (all p < 0.001). Lastly, the relationships between pairs of endophenotypes were consistent in all three participant groups, differing for some of the cognitive pairings only in the strengths of the relationships. CONCLUSIONS The P300 amplitude and latency are independent endophenotypes; the former indexing spatial visualisation and working memory, and the latter is hypothesised to index basic processing speed. Individuals with psychotic illnesses, their unaffected relatives, and healthy controls all show similar patterns of associations between endophenotypes, endorsing the theory of a continuum of psychosis liability across the population.
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Affiliation(s)
- R. Blakey
- Division of Psychiatry, University College London, London, UK
| | - S. Ranlund
- Division of Psychiatry, University College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - E. Zartaloudi
- Division of Psychiatry, University College London, London, UK
| | - W. Cahn
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - S. Calafato
- Division of Psychiatry, University College London, London, UK
| | - M. Colizzi
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - B. Crespo-Facorro
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Madrid, Spain
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria–IDIVAL, Santander, Spain
| | - C. Daniel
- Division of Psychiatry, University College London, London, UK
| | - Á. Díez-Revuelta
- Division of Psychiatry, University College London, London, UK
- Laboratory of Cognitive and Computational Neuroscience – Centre for Biomedical Technology (CTB), Complutense University and Technical University of Madrid, Madrid, Spain
| | - M. Di Forti
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | | | - C. Iyegbe
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - A. Jablensky
- Centre for Clinical Research in Neuropsychiatry, The University of Western Australia, Perth, Western Australia, Australia
| | - R. Jones
- Division of Psychiatry, University College London, London, UK
| | - M.-H. Hall
- Psychology Research Laboratory, Harvard Medical School, McLean Hospital, Belmont, MA, USA
| | - R. Kahn
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - L. Kalaydjieva
- Harry Perkins Institute of Medical Research and Centre for Medical Research, The University of Western Australia, Perth, Australia
| | - E. Kravariti
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - K. Lin
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - C. McDonald
- Department of Psychiatry, Clinical Science Institute, National University of Ireland Galway, Ireland
| | - A. M. McIntosh
- Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK
| | | | - M. Picchioni
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - J. Powell
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - A. Presman
- Division of Psychiatry, University College London, London, UK
| | - D. Rujescu
- Department of Psychiatry, Ludwig-Maximilians University of Munich, Munich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, University of Halle Wittenberg, Halle, Germany
| | - K. Schulze
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - M. Shaikh
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- North East London Foundation Trust, London, UK
| | - J. H. Thygesen
- Division of Psychiatry, University College London, London, UK
| | - T. Toulopoulou
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychology, Bilkent University, Main Campus, Bilkent, Ankara, Turkey
- Department of Psychology, the University of Hong Kong, Pokfulam Rd, Hong Kong SAR, China
- The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, The Hong Kong Jockey Club Building for Interdisciplinary Research, Hong Kong SAR, China
| | - N. Van Haren
- Department of Psychiatry, Brain Centre Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J. Van Os
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Department of Psychiatry and Psychology, Maastricht University Medical Centre, EURON, Maastricht, The Netherlands
| | - M. Walshe
- Division of Psychiatry, University College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | | | - R. M. Murray
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
| | - E. Bramon
- Division of Psychiatry, University College London, London, UK
- Institute of Psychiatry Psychology and Neuroscience at King’s College London and South London and Maudsley NHS Foundation Trust, London, UK
- Institute of Cognitive Neuroscience, University College London, London, UK
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Kelly S, Jahanshad N, Zalesky A, Kochunov P, Agartz I, Alloza C, Andreassen OA, Arango C, Banaj N, Bouix S, Bousman CA, Brouwer RM, Bruggemann J, Bustillo J, Cahn W, Calhoun V, Cannon D, Carr V, Catts S, Chen J, Chen JX, Chen X, Chiapponi C, Cho KK, Ciullo V, Corvin AS, Crespo-Facorro B, Cropley V, De Rossi P, Diaz-Caneja CM, Dickie EW, Ehrlich S, Fan FM, Faskowitz J, Fatouros-Bergman H, Flyckt L, Ford JM, Fouche JP, Fukunaga M, Gill M, Glahn DC, Gollub R, Goudzwaard ED, Guo H, Gur RE, Gur RC, Gurholt TP, Hashimoto R, Hatton SN, Henskens FA, Hibar DP, Hickie IB, Hong LE, Horacek J, Howells FM, Hulshoff Pol HE, Hyde CL, Isaev D, Jablensky A, Jansen PR, Janssen J, Jönsson EG, Jung LA, Kahn RS, Kikinis Z, Liu K, Klauser P, Knöchel C, Kubicki M, Lagopoulos J, Langen C, Lawrie S, Lenroot RK, Lim KO, Lopez-Jaramillo C, Lyall A, Magnotta V, Mandl RCW, Mathalon DH, McCarley RW, McCarthy-Jones S, McDonald C, McEwen S, McIntosh A, Melicher T, Mesholam-Gately RI, Michie PT, Mowry B, Mueller BA, Newell DT, O'Donnell P, Oertel-Knöchel V, Oestreich L, Paciga SA, Pantelis C, Pasternak O, Pearlson G, Pellicano GR, Pereira A, Pineda Zapata J, Piras F, Potkin SG, Preda A, Rasser PE, Roalf DR, Roiz R, Roos A, Rotenberg D, Satterthwaite TD, Savadjiev P, Schall U, Scott RJ, Seal ML, Seidman LJ, Shannon Weickert C, Whelan CD, Shenton ME, Kwon JS, Spalletta G, Spaniel F, Sprooten E, Stäblein M, Stein DJ, Sundram S, Tan Y, Tan S, Tang S, Temmingh HS, Westlye LT, Tønnesen S, Tordesillas-Gutierrez D, Doan NT, Vaidya J, van Haren NEM, Vargas CD, Vecchio D, Velakoulis D, Voineskos A, Voyvodic JQ, Wang Z, Wan P, Wei D, Weickert TW, Whalley H, White T, Whitford TJ, Wojcik JD, Xiang H, Xie Z, Yamamori H, Yang F, Yao N, Zhang G, Zhao J, van Erp TGM, Turner J, Thompson PM, Donohoe G. Widespread white matter microstructural differences in schizophrenia across 4322 individuals: results from the ENIGMA Schizophrenia DTI Working Group. Mol Psychiatry 2018; 23:1261-1269. [PMID: 29038599 PMCID: PMC5984078 DOI: 10.1038/mp.2017.170] [Citation(s) in RCA: 412] [Impact Index Per Article: 68.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2016] [Revised: 05/02/2017] [Accepted: 06/07/2017] [Indexed: 12/15/2022]
Abstract
The regional distribution of white matter (WM) abnormalities in schizophrenia remains poorly understood, and reported disease effects on the brain vary widely between studies. In an effort to identify commonalities across studies, we perform what we believe is the first ever large-scale coordinated study of WM microstructural differences in schizophrenia. Our analysis consisted of 2359 healthy controls and 1963 schizophrenia patients from 29 independent international studies; we harmonized the processing and statistical analyses of diffusion tensor imaging (DTI) data across sites and meta-analyzed effects across studies. Significant reductions in fractional anisotropy (FA) in schizophrenia patients were widespread, and detected in 20 of 25 regions of interest within a WM skeleton representing all major WM fasciculi. Effect sizes varied by region, peaking at (d=0.42) for the entire WM skeleton, driven more by peripheral areas as opposed to the core WM where regions of interest were defined. The anterior corona radiata (d=0.40) and corpus callosum (d=0.39), specifically its body (d=0.39) and genu (d=0.37), showed greatest effects. Significant decreases, to lesser degrees, were observed in almost all regions analyzed. Larger effect sizes were observed for FA than diffusivity measures; significantly higher mean and radial diffusivity was observed for schizophrenia patients compared with controls. No significant effects of age at onset of schizophrenia or medication dosage were detected. As the largest coordinated analysis of WM differences in a psychiatric disorder to date, the present study provides a robust profile of widespread WM abnormalities in schizophrenia patients worldwide. Interactive three-dimensional visualization of the results is available at www.enigma-viewer.org.
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Affiliation(s)
- S Kelly
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA,Harvard Medical School, Boston, MA, USA,Imaging Genetics Center, Keck School of Medicine, University of Southern California, Marina del Rey, CA 90292, USA. E-mail:
| | - N Jahanshad
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - A Zalesky
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - P Kochunov
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - I Agartz
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden,Department of Psychiatric Research, Diakonhjemmet Hospital, Oslo, Norway
| | - C Alloza
- University of Edinburgh, Edinburgh, UK
| | | | - C Arango
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - N Banaj
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - S Bouix
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - C A Bousman
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia,Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia,Department of General Practice, The University of Melbourne, Parkville, VIC, Australia,Swinburne University of Technology, Melbourne, VIC, Australia
| | - R M Brouwer
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - J Bruggemann
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - J Bustillo
- University of New Mexico, Albuquerque, NM, USA
| | - W Cahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - V Calhoun
- The Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA,The Mind Research Network, Albuquerque, NM, USA
| | - D Cannon
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - V Carr
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - S Catts
- Discipline of Psychiatry, School of Medicine, University of Queensland, Herston, QLD, Australia
| | - J Chen
- Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, USA
| | - J-x Chen
- Beijing Huilongguan Hospital, Beijing, China
| | - X Chen
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | | | - Kl K Cho
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - V Ciullo
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - A S Corvin
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - B Crespo-Facorro
- University Hospital Marqués de Valdecilla, IDIVAL, Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - V Cropley
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - P De Rossi
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Department NESMOS, Faculty of Medicine and Psychology, University ‘Sapienza’ of Rome, Rome, Italy,Department of Neurology and Psychiatry, Sapienza University of Rome, Rome, Italy
| | - C M Diaz-Caneja
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain
| | - E W Dickie
- Center for Addiction and Mental Health, Toronto, ON, Canada
| | - S Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Technische Universität Dresden, Faculty of Medicine, University Hospital C.G. Carus, Dresden, Germany
| | - F-m Fan
- Beijing Huilongguan Hospital, Beijing, China
| | - J Faskowitz
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - H Fatouros-Bergman
- Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - L Flyckt
- University of New South Wales, School of Psychiatry, Sydney, NSW, Australia,The University of Queensland, Queensland Brain Institute and Centre for Advanced Imaging, Brisbane, QLD, Australia
| | - J M Ford
- University of California, VAMC, San Francisco, CA, USA
| | - J-P Fouche
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - M Fukunaga
- Division of Cerebral Integration, National Institute for Physiological Sciences, Aichi, Japan
| | - M Gill
- Department of Psychiatry and Neuropsychiatric Genetics Research Group, Institute of Molecular Medicine, Trinity College Dublin, Dublin, Ireland
| | - D C Glahn
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - R Gollub
- Harvard Medical School, Boston, MA, USA,Departments of Psychiatry and Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - E D Goudzwaard
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - H Guo
- Zhumadian Psychiatry Hospital, Henan Province, China
| | - R E Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - R C Gur
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - T P Gurholt
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - R Hashimoto
- Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan,Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - S N Hatton
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - F A Henskens
- School of Electrical Engineering and Computer Science, University of Newcastle, Callaghan, NSW, Australia,Health Behaviour Research Group, University of Newcastle, Callaghan, NSW, Australia,Hunter Medical Research Institute, Newcastle, NSW, Australia
| | - D P Hibar
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - I B Hickie
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - L E Hong
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
| | - J Horacek
- National Institute of Mental Health, Klecany, Czech Republic,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - F M Howells
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - H E Hulshoff Pol
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C L Hyde
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - D Isaev
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - A Jablensky
- University of Western Australia, Perth, WA, Australia
| | - P R Jansen
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - J Janssen
- Child and Adolescent Psychiatry Department, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, CIBERSAM, Madrid, Spain,Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - E G Jönsson
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Clinical Neuroscience, Centre for Psychiatry Research, Karolinska Institutet, Stockholm, Sweden
| | - L A Jung
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - R S Kahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Z Kikinis
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - K Liu
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia
| | - P Klauser
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia,Brain and Mental Health Laboratory, Monash Institute of Cognitive and Clinical Neurosciences, School of Psychological Sciences and Monash Biomedical Imaging, Monash University, Clayton, VIC, Australia,Department of Psychiatry, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - C Knöchel
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - M Kubicki
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - J Lagopoulos
- Sunshine Coast Mind and Neuroscience Institute, University of the Sunshine Coast QLD, Australia, Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - C Langen
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - S Lawrie
- University of Edinburgh, Edinburgh, UK
| | - R K Lenroot
- Neuroscience Research Australia and School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - K O Lim
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - C Lopez-Jaramillo
- Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Mood Disorder Program, Hospital Universitario San Vicente Fundación, Medellín, Colombia
| | - A Lyall
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | | | - R C W Mandl
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - D H Mathalon
- University of California, VAMC, San Francisco, CA, USA
| | | | - S McCarthy-Jones
- Department of Psychiatry, Trinity College Dublin, Dublin, Ireland
| | - C McDonald
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
| | - S McEwen
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - T Melicher
- Third Faculty of Medicine, Charles University, Prague, Czech Republic,The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - R I Mesholam-Gately
- Harvard Medical School and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess, Medical Center, Boston, MA, USA
| | - P T Michie
- Hunter Medical Research Institute, Newcastle, NSW, Australia,The University of Newcastle, Newcastle, NSW, Australia,Schizophrenia Research Institute, Sydney, NSW, Australia
| | - B Mowry
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia and Queensland Centre for Mental Health Research, Brisbane and Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | - B A Mueller
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - D T Newell
- Department of Psychiatry, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - P O'Donnell
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - V Oertel-Knöchel
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - L Oestreich
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia and Queensland Centre for Mental Health Research, Brisbane and Queensland Centre for Mental Health Research, Brisbane, QLD, Australia
| | - S A Paciga
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - C Pantelis
- Melbourne Neuropsychiatry Centre, Department of Psychiatry, University of Melbourne and Melbourne Health, Carlton South, VIC, Australia,Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia,Schizophrenia Research Institute, Sydney, NSW, Australia,Centre for Neural Engineering (CfNE), Department of Electrical and Electronic Engineering, University of Melbourne, Parkville, VIC, Australia
| | - O Pasternak
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - G Pearlson
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - G R Pellicano
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - A Pereira
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | | | - F Piras
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,School of Biomedical Sciences, Faculty of Health, the University of Newcastle, Callaghan, NSW, Australia
| | - S G Potkin
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - A Preda
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - P E Rasser
- Hunter Medical Research Institute, Newcastle, NSW, Australia,Priority Centre for Brain and Mental Health Research, The University of Newcastle, Newcastle, NSW, Australia
| | - D R Roalf
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - R Roiz
- University Hospital Marqués de Valdecilla, IDIVAL, Department of Medicine and Psychiatry, School of Medicine, University of Cantabria, Santander, Spain,CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain
| | - A Roos
- SU/UCT MRC Unit on Anxiety and Stress Disorders, Department of Psychiatry, Stellenbosch University, Stellenbosch, South Africa
| | - D Rotenberg
- Center for Addiction and Mental Health, Toronto, ON, Canada
| | - T D Satterthwaite
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - P Savadjiev
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - U Schall
- Hunter Medical Research Institute, Newcastle, NSW, Australia,Priority Centre for Brain and Mental Health Research, The University of Newcastle, Newcastle, NSW, Australia
| | - R J Scott
- Hunter Medical Research Institute, Newcastle, NSW, Australia,School of Biomedical Sciences, Faculty of Health, the University of Newcastle, Callaghan, NSW, Australia
| | - M L Seal
- Murdoch Childrens Research Institute, The Royal Children’s Hospital, Parkville, VIC, Australia
| | - L J Seidman
- Harvard Medical School, Boston, MA, USA,Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA,Harvard Medical School and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess, Medical Center, Boston, MA, USA
| | - C Shannon Weickert
- Schizophrenia Research Institute, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - C D Whelan
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - M E Shenton
- Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA,VA Boston Healthcare System, Boston, MA, USA
| | - J S Kwon
- Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - G Spalletta
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy,Division of Neuropsychiatry, Menninger Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
| | - F Spaniel
- National Institute of Mental Health, Klecany, Czech Republic,Third Faculty of Medicine, Charles University, Prague, Czech Republic
| | - E Sprooten
- Olin Neuropsychiatric Research Center, Institute of Living, Hartford Hospital and Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - M Stäblein
- Laboratory for Neuroimaging, Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, Goethe University, Frankfurt/Main, Germany
| | - D J Stein
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa,Department of Psychiatry and MRC Unit on Anxiety and Stress Disorders, University of Cape Town, Cape Town, South Africa
| | - S Sundram
- Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia,Department of Psychiatry, School of Clinical Sciences, Monash University and Monash Health, Clayton, VIC, Australia
| | - Y Tan
- Beijing Huilongguan Hospital, Beijing, China
| | - S Tan
- Beijing Huilongguan Hospital, Beijing, China
| | - S Tang
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - H S Temmingh
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - L T Westlye
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway,Department of Psychology, University of Oslo, Oslo, Norway
| | - S Tønnesen
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - D Tordesillas-Gutierrez
- CIBERSAM, Centro Investigación Biomédica en Red Salud Mental, Santander, Spain,Neuroimaging Unit, Technological Facilities, Valdecilla Biomedical Research Institute IDIVAL, Santander, Spain
| | - N T Doan
- NORMENT, KG Jebsen Centre for Psychosis Research, Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - J Vaidya
- Department of Psychiatry, University of Iowa, Iowa City, IA, USA
| | - N E M van Haren
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - C D Vargas
- Research Group in Psychiatry (GIPSI), Department of Psychiatry, Faculty of Medicine, Universidad de Antioquia, Medellín, Colombia
| | - D Vecchio
- Laboratory of Neuropsychiatry, Department of Clinical and Behavioral Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - D Velakoulis
- Neuropsychiatry Unit, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - A Voineskos
- Kimel Family Translational Imaging-Genetics Research Laboratory, Campbell Family Mental Health Research Institute, CAMH Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - J Q Voyvodic
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Z Wang
- Beijing Huilongguan Hospital, Beijing, China
| | - P Wan
- Zhumadian Psychiatry Hospital, Henan Province, China
| | - D Wei
- Luoyang Fifth People's Hospital, Henan Province, China
| | - T W Weickert
- Schizophrenia Research Institute, Sydney, NSW, Australia,Neuroscience Research Australia, Sydney, NSW, Australia,School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - H Whalley
- University of Edinburgh, Edinburgh, UK
| | - T White
- Erasmus University Medical Center, Rotterdam, The Netherlands
| | - T J Whitford
- University of New South Wales, School of Psychiatry, Sydney, NSW, Australia
| | - J D Wojcik
- Harvard Medical School and Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess, Medical Center, Boston, MA, USA
| | - H Xiang
- Chongqing Three Gorges Central Hospital, Chongqing, China
| | - Z Xie
- Worldwide Research and Development, Pfizer, Cambridge, MA, USA
| | - H Yamamori
- Department of Psychiatry, Osaka University Graduate School of Medicine, Osaka, Japan
| | - F Yang
- Beijing Huilongguan Hospital, Beijing, China
| | - N Yao
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA
| | - G Zhang
- Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore, MD, USA
| | - J Zhao
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland,School of Psychology, Shaanxi Normal University and Key Laboratory for Behavior and Cognitive Neuroscience of Shaanxi Province, Xi’an, Shaanxi, China
| | - T G M van Erp
- Department of Psychiatry and Human Behavior, University of California Irvine, Irvine, CA, USA
| | - J Turner
- Psychology Department & Neuroscience Institute, Georgia State University, Atlanta, GA, USA
| | - P M Thompson
- Imaging Genetics Center, Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA
| | - G Donohoe
- Centre for Neuroimaging and Cognitive Genomics (NICOG), Clinical Neuroimaging Laboratory, NCBES Galway Neuroscience Centre, National University of Ireland Galway, Galway, Ireland
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van der Stouwe ECD, van Busschbach JT, de Vries B, Cahn W, Aleman A, Pijnenborg GHM. Neural correlates of exercise training in individuals with schizophrenia and in healthy individuals: A systematic review. Neuroimage Clin 2018; 19:287-301. [PMID: 30023171 PMCID: PMC6050351 DOI: 10.1016/j.nicl.2018.04.018] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 03/27/2018] [Accepted: 04/16/2018] [Indexed: 12/17/2022]
Abstract
A body of evidence has revealed positive effects of physical exercise on behavioral, cognitive and physical outcomes in patients with schizophrenia. Notably, the effect of exercise at the neural level may be particularly relevant as well as it is hypothesized that exercise may stimulate the brain in a way that might normalize neural alterations related to the disorder. The aim of the current systematic review was to provide an up to date overview of studies investigating the neural effects of exercise in individuals with a schizophrenia spectrum disorder and healthy individuals. The majority of included studies focused on hippocampal effects, reporting beneficial effects of exercise. In addition, in schizophrenia increased extrastriate body area (EBA) activation and increased white matter fiber integrity in tracts relevant to the disorder were found and in healthy individuals decreased connectivity of the dorsolateral prefrontal cortex (DLPFC) indicating greater cognitive efficiency was reported. Comparing individuals with a schizophrenia spectrum disorder and healthy individuals within a similar age range, most studies found similar effects on hippocampal volume and white matter tracts for both groups, although the effect in schizophrenia spectrum disorders may be attenuated which is in line with previous literature on brain plasticity. The current review indicates a lack of studies investigating neural correlates other than the hippocampus. Although those studies that did focus on other neural correlates revealed promising results, these have not been replicated in other studies and call for replication. Furthermore, future studies should expand their focus, by investigating neural mechanisms underlying positive effects of physical exercise on positive symptoms, negative symptoms and symptoms such as depression, social withdrawal and social cognition.
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Affiliation(s)
- E C D van der Stouwe
- Department of Neuroscience, BCN Neuroimaging Center, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 2, 9713, AW, Groningen, The Netherlands; University of Groningen, University Medical Center Groningen, University Center of Psychiatry, Rob Giel Onderzoekcentrum, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands.
| | - J T van Busschbach
- University of Groningen, University Medical Center Groningen, University Center of Psychiatry, Rob Giel Onderzoekcentrum, Hanzeplein 1, 9713, GZ, Groningen, The Netherlands; Department of Movement and Education, Windesheim University of Applied Sciences, Campus 2-6, 8017, CA, Zwolle, The Netherlands.
| | - B de Vries
- Department of Clinical Psychology, University of Groningen, Grote Kruisstraat 2/1, 9712, TS, Groningen, The Netherlands.
| | - W Cahn
- Department of Psychiatry, Rudolf Magnus Institute for Neuroscience, University Medical Center Utrecht, Heigelberglaan 100, 3584, CX, Utrecht, The Netherlands.
| | - A Aleman
- Department of Neuroscience, BCN Neuroimaging Center, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 2, 9713, AW, Groningen, The Netherlands.
| | - G H M Pijnenborg
- Department of Neuroscience, BCN Neuroimaging Center, University of Groningen, University Medical Center Groningen, Antonius Deusinglaan 2, 9713, AW, Groningen, The Netherlands; Department of Clinical Psychology, University of Groningen, Grote Kruisstraat 2/1, 9712, TS, Groningen, The Netherlands; Department of Psychotic Disorders, GGZ-Drenthe, Dennenweg 9, 9404, LA, Assen, The Netherlands.
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Cahn W, Hulshoff Pol HE, Bongers M, Schnack HG, Mandl RCW, Van Haren NEM, Durston S, Koning H, Van Der Linden JA, Kahn RS. Brain morphology in antipsychotic-naïve schizophrenia: A study of multiple brain structures. Br J Psychiatry 2018; 43:s66-72. [PMID: 12271803 DOI: 10.1192/bjp.181.43.s66] [Citation(s) in RCA: 87] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
BackgroundAlthough brain volume changes are found in schizophrenia, only a limited number of structural magnetic resonance imaging studies have exclusively examined antipsychotic-naïve patients.AimsTo comprehensively investigate multiple brain structures in a single sample of patients who were antipsychotic-naïve.MethodTwenty antipsychotic-naïve patients with first-episode schizophrenia and 20 healthy comparison subjects were included. Intracranial, total brain, frontal lobe, grey and white matter, cerebellar, hippocampal, parahippocampal, thalamic, caudate nucleus and lateral and third ventricular volumes were measured. Repeated-measures analyses of (co)variance were conducted with intracranial volume as covariate.ResultsThird ventricle volume enlargement was found in patients compared with the healthy subjects. No differences were found in other brain regions.ConclusionsThese findings suggest that some brain abnormalities are present in the early stages of schizophrenia. Moreover, it suggests that brain abnormalities reported in patients with chronic schizophrenia develop in a later stage of the disease and/or are medication induced.
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Affiliation(s)
- W Cahn
- Department of Psychiatry, University Medical Centre Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands.
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Lodder M, Schrijvers AJP, Termorshuizen F, de Leeuw JRJ, Cahn W. [Residents in supported housing and factors related to moving towards independent living]. Tijdschr Psychiatr 2018; 60:817-826. [PMID: 30536294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Few data are available on predictors for the transition of individuals with mental illness to more independent forms of housing.<br/> AIM: To analyse which variables predict the transition of individuals with severe mental illness from supported housing within the Dutch community housing programs (CHP) to more independent ways of living.<br/> METHOD: Data of 1569 participants were analysed using Cox regression analysis.<br/> RESULTS: Individuals with a personality disorder, current alcohol misuse or who received ambulant care prior to admission in CHP had the highest probability of moving to a more independent way of living. Individuals who received clinical care prior to admission in CHP, individuals with admission in Supported Housing, and individuals with a history of substance dependency had the highest probability of clinical relapse.<br/> CONCLUSION: The predictors found in this study can be used as a starting point both for hypotheses for additional aetiological research and for guidelines covering specific interventions.
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Collin G, de Nijs J, Hulshoff Pol HE, Cahn W, van den Heuvel MP. Connectome organization is related to longitudinal changes in general functioning, symptoms and IQ in chronic schizophrenia. Schizophr Res 2016; 173:166-173. [PMID: 25843919 DOI: 10.1016/j.schres.2015.03.012] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Revised: 03/13/2015] [Accepted: 03/15/2015] [Indexed: 11/28/2022]
Abstract
Emerging evidence suggests schizophrenia to involve widespread alterations in the macroscale wiring architecture of the human connectome. Recent findings of attenuated connectome alterations in unaffected siblings of schizophrenia patients suggest that altered connectome organization may relate to the vulnerability to develop the disorder, but whether it relates to progression of illness after disease onset is currently unknown. Here, we examined the interaction between connectome structure and longitudinal changes in general functioning, clinical symptoms and IQ in the 3years following MRI assessment in a group of chronically ill schizophrenia patients. Effects in patients were compared to associations between connectome organization and changes in subclinical symptoms and IQ in healthy controls and unaffected siblings of schizophrenia patients. Analyzing the patient sample revealed a relationship between structural connectivity-particularly among central 'brain hubs'-and progressive changes in general functioning (p=0.007), suggesting that more prominent impairments of hub connectivity may herald future functional decline. Our findings further indicate that affected local connectome organization relates to longitudinal increases in overall PANSS symptoms (p=0.013) and decreases in total IQ (p=0.003), independent of baseline symptoms and IQ. No significant associations were observed in controls and siblings, suggesting that the findings in patients represent effects of ongoing illness, as opposed to normal time-related changes. In all, our findings suggest connectome structure to have predictive value for the course of illness in schizophrenia.
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Affiliation(s)
- G Collin
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands.
| | - J de Nijs
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - H E Hulshoff Pol
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - W Cahn
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - M P van den Heuvel
- Department of Psychiatry, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
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25
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Cahn W. GROUP 6 year outcome data in relation to antipsychotic medication. Eur Psychiatry 2016. [DOI: 10.1016/j.eurpsy.2016.01.917] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
Abstract
ObjectiveGenetic risk and outcome of psychoses (GROUP) is a 6 year longitudinal cohort study that focus on gene–environment vulnerability and resilience in patients with psychotic disorders, their unaffected family members and non-related controls. Its main aim is to elucidate etiological and pathogenetic factors that influence the onset and course of psychotic disorders. In this substudy, we will examine medication use over time, its relation with (the change in) metabolic syndrome status and effects on the brain.MethodsA consortium of four university psychiatric centers and their affiliated mental health care institutions, conducted the GROUP study. At baseline, 1120 patients, 1057 siblings, 919 parents and 590 healthy controls were included. After inclusion, participants, except parents, were evaluated again after three and six years of follow-up. Extensive assessment of genetic factors, environmental factors, medication use, metabolic parameters and outcome were performed. Moreover, brain imaging was performed in a subset of participants, using a 1.5 Tesla MRI scanner.ResultsAt baseline 65% of patients used atypical antipsychotics, 16% used conventional antipsychotics and 19% used clozapine. Siblings and controls used no antipsychotics. Forty-three percent of patients, 21.3% of siblings and 9.1% of controls used antidepressants; 43.9% of patients, 2.1% of siblings and none of the controls used a mood stabilizer. We are currently analyzing the medication data over time in relation to (change in) metabolic syndrome status and the effects on the brain.ConclusionGROUP is a longitudinal cohort study in patients with psychotic disorders, their healthy siblings and controls without psychosis. This naturalistic substudy examines medication use, its association with (change of) metabolic status and effects on the brain in subjects with (high risk of) psychosis.Disclosure of interestThe authors have not supplied their declaration of competing interest.
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26
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van Dam DS, van Nierop M, Viechtbauer W, Velthorst E, van Winkel R, Bruggeman R, Cahn W, de Haan L, Kahn RS, Meijer CJ, Myin-Germeys I, van Os J, Wiersma D. Childhood abuse and neglect in relation to the presence and persistence of psychotic and depressive symptomatology. Psychol Med 2015; 45:1363-1377. [PMID: 25065372 DOI: 10.1017/s0033291714001561] [Citation(s) in RCA: 67] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND The association between childhood trauma and psychotic and depressive symptomatology is well established. However, less is known about the specificity and course of these symptoms in relation to childhood trauma. METHOD In a large sample (n = 2765) of patients with psychosis (n = 1119), their siblings (n = 1057) and controls (n = 589), multivariate (mixed-effects) regression analyses with multiple outcomes were performed to examine the association between childhood trauma and psychotic and depressive symptomatology over a 3-year period. RESULTS A dose-response relationship was found between childhood trauma and psychosis. Abuse was more strongly associated with positive symptoms than with negative symptoms whereas the strength of the associations between neglect and positive and negative symptoms was comparable. In patients, similar associations between childhood trauma and psychotic or depressive symptoms were found, and in siblings and controls, stronger associations were found between trauma and depressive symptomatology. Childhood trauma was not related to a differential course of symptoms over a 3-year time period. CONCLUSIONS In congruence with earlier work, our findings suggest that childhood trauma, and abuse in particular, is associated with (subthreshold) psychosis. However, childhood trauma does not seem to be associated with a differential course of symptoms, nor does it uniquely heighten the chance of developing (subthreshold) psychotic symptomatology. Our results indicate that trauma may instead contribute to a shared vulnerability for psychotic and depressive symptoms.
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Affiliation(s)
- D S van Dam
- Department of Psychiatry, Academic Medical Center,University of Amsterdam,The Netherlands
| | - M van Nierop
- Maastricht University Medical Center,South Limburg Mental Health Research and Teaching Network,EURON, Maastricht,The Netherlands
| | - W Viechtbauer
- Maastricht University Medical Center,South Limburg Mental Health Research and Teaching Network,EURON, Maastricht,The Netherlands
| | - E Velthorst
- Department of Psychiatry, Academic Medical Center,University of Amsterdam,The Netherlands
| | - R van Winkel
- Maastricht University Medical Center,South Limburg Mental Health Research and Teaching Network,EURON, Maastricht,The Netherlands
| | - R Bruggeman
- Department of Psychiatry, University Medical Center Groningen,University of Groningen,The Netherlands
| | - W Cahn
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience,University Medical Center Utrecht,The Netherlands
| | - L de Haan
- Department of Psychiatry, Academic Medical Center,University of Amsterdam,The Netherlands
| | - R S Kahn
- Department of Psychiatry,Rudolf Magnus Institute of Neuroscience,University Medical Center Utrecht,The Netherlands
| | - C J Meijer
- Department of Psychiatry, Academic Medical Center,University of Amsterdam,The Netherlands
| | - I Myin-Germeys
- Maastricht University Medical Center,South Limburg Mental Health Research and Teaching Network,EURON, Maastricht,The Netherlands
| | - J van Os
- Maastricht University Medical Center,South Limburg Mental Health Research and Teaching Network,EURON, Maastricht,The Netherlands
| | - D Wiersma
- Department of Psychiatry, University Medical Center Groningen,University of Groningen,The Netherlands
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Cahn W, Bruggeman R, De Haan L, Kahn R, Myin-Germeys I, Van Os J. Long-term Outcome in Schizophrenia: a Six-year Follow-up in over 1000 Patients. Eur Psychiatry 2015. [DOI: 10.1016/s0924-9338(15)30193-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Apeldoorn SY, Sterk B, van den Heuvel ER, Schoevers RA, Islam MA, Bruggeman R, Cahn W, deHaan L, Kahn RS, Meijer CJ, Myin-Germeys I, van Os J, Wiersma D. Factors contributing to the duration of untreated psychosis. Schizophr Res 2014; 158:76-81. [PMID: 25043913 DOI: 10.1016/j.schres.2014.07.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2014] [Revised: 05/25/2014] [Accepted: 07/04/2014] [Indexed: 10/25/2022]
Abstract
BACKGROUND Shortening the duration of untreated psychosis (DUP) - with the aim of improving the prognosis of psychotic disorders - requires an understanding of the causes of treatment delay. Current findings concerning several candidate risk factors of a longer DUP are inconsistent. Our aim was to identify factors contributing to DUP in a large sample that represents the treated prevalence of non-affective psychotic disorders. METHOD Patients with a non-affective psychotic disorder were recruited from mental health care institutes from 2004 to 2008. Of the 1120 patients enrolled, 852 could be included in the present analysis. Examined candidate factors were gender, educational level, migration status, premorbid adjustment and age at onset of the psychotic disorder. DUP was divided into five ordinal categories: less than one month, one month to three months, three months to six months, six months to twelve months and twelve months and over. An ordinal logistic regression analysis was used to identify the risk factors of a longer DUP. RESULTS Median DUP was less than one month (IQR 2). The factors migration status (p=0.028), age at onset of the psychotic disorder (p=0.003) and gender (p=0.034) were significantly associated with DUP in our analysis. CONCLUSION First generation immigrant patients, patients with an early onset of their psychotic disorder and male patients seem at risk of a longer DUP. These findings can assist in designing specific interventions to shorten treatment delay.
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Affiliation(s)
- S Y Apeldoorn
- Department of Psychiatry, University Medical Centre Groningen, University of Groningen, the Netherlands; Rob Giel Research Centre, University Medical Centre Groningen, University of Groningen, the Netherlands.
| | - B Sterk
- Department of Psychiatry, Academic Medical Centre, University of Amsterdam, the Netherlands; Department of Psychiatry, University Medical Centre Nijmegen, the Netherlands
| | - E R van den Heuvel
- Department of Epidemiology, University Medical Centre Groningen, University of Groningen, the Netherlands
| | - R A Schoevers
- Department of Psychiatry, University Medical Centre Groningen, University of Groningen, the Netherlands
| | - M A Islam
- Department of Psychiatry, University Medical Centre Groningen, University of Groningen, the Netherlands; Rob Giel Research Centre, University Medical Centre Groningen, University of Groningen, the Netherlands
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Man WH, ten Berg M, Wilting I, Huisman A, Cahn W, Douma JW, den Breeijen H, Heerdink ER, Egberts TC, van Solinge W. Fluorescence of neutrophil granulocytes as a biomarker for clozapine use. Pharmacopsychiatry 2014. [DOI: 10.1055/s-0034-1386827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
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30
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Quee PJ, van der Meer L, Krabbendam L, de Haan L, Cahn W, Wiersma D, van Beveren N, Pijnenborg GHM, Mulder CL, Bruggeman R, Aleman A. Insight change in psychosis: relationship with neurocognition, social cognition, clinical symptoms and phase of illness. Acta Psychiatr Scand 2014; 129:126-33. [PMID: 23600752 DOI: 10.1111/acps.12138] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/22/2013] [Indexed: 11/27/2022]
Abstract
OBJECTIVE Impaired insight is an important and prevalent symptom of psychosis. It remains unclear whether cognitive disturbances hamper improvements in insight. We investigated the neurocognitive, social cognitive, and clinical correlates of changes in insight. METHOD One hundred and fifty-four patients with a psychotic disorder were assessed at baseline (T0 ) and after three years (T3 ) with the Birchwood Insight Scale, the Positive And Negative Syndrome Scale, measures of neurocognition and social cognition. Linear regression analyses were conducted to examine to what extend neurocognition, social cognition, clinical symptoms and phase of illness could uniquely predict insight change. Subsequently, changes in these factors were related to insight change. RESULTS Better neurocognitive performance and fewer clinical symptoms at baseline explained insight improvements. The additional effect of clinical symptoms over and above the contribution of neurocognition was significant. Together, these factors explained 10% of the variance. Social cognition and phase of illness could not predict insight change. Changes in clinical symptoms, but not changes in neurocognitive performance were associated with insight change. CONCLUSION Neurocognitive abilities may predict, in part, the development of insight in psychosis.
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Affiliation(s)
- P J Quee
- Department of Psychiatry & Rob Giel Research Center, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; Department of Rehabilitation, Lentis Center for Mental Health, Zuidlaren, the Netherlands
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Terwisscha van Scheltinga AF, Bakker SC, van Haren NEM, Derks EM, Buizer-Voskamp JE, Cahn W, Ripke S, Ophoff RA, Kahn RS. Schizophrenia genetic variants are not associated with intelligence. Psychol Med 2013; 43:2563-2570. [PMID: 23410598 PMCID: PMC4743754 DOI: 10.1017/s0033291713000196] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Schizophrenia is associated with lower pre-morbid intelligence (IQ) in addition to (pre-morbid) cognitive decline. Both schizophrenia and IQ are highly heritable traits. Therefore, we hypothesized that genetic variants associated with schizophrenia, including copy number variants (CNVs) and a polygenic schizophrenia (risk) score (PSS), may influence intelligence. METHOD IQ was estimated with the Wechsler Adult Intelligence Scale (WAIS). CNVs were determined from single nucleotide polymorphism (SNP) data using the QuantiSNP and PennCNV algorithms. For the PSS, odds ratios for genome-wide SNP data were calculated in a sample collected by the Psychiatric Genome-Wide Association Study (GWAS) Consortium (8690 schizophrenia patients and 11 831 controls). These were used to calculate individual PSSs in our independent sample of 350 schizophrenia patients and 322 healthy controls. RESULTS Although significantly more genes were disrupted by deletions in schizophrenia patients compared to controls (p = 0.009), there was no effect of CNV measures on IQ. The PSS was associated with disease status (R 2 = 0.055, p = 2.1 × 10-7) and with IQ in the entire sample (R 2 = 0.018, p = 0.0008) but the effect on IQ disappeared after correction for disease status. CONCLUSIONS Our data suggest that rare and common schizophrenia-associated variants do not explain the variation in IQ in healthy subjects or in schizophrenia patients. Thus, reductions in IQ in schizophrenia patients may be secondary to other processes related to schizophrenia risk.
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Affiliation(s)
| | - S. C. Bakker
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, The Netherlands
| | - N. E. M. van Haren
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, The Netherlands
| | - E. M. Derks
- Department of Psychiatry, Academic Medical Center, University of Amsterdam, The Netherlands
| | - J. E. Buizer-Voskamp
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, The Netherlands
| | - W. Cahn
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, The Netherlands
| | - S. Ripke
- Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, USA
| | | | - R. A. Ophoff
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, The Netherlands
- Center for Neurobehavioral Genetics, University of California, Los Angeles, USA
| | - R. S. Kahn
- Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, University Medical Center Utrecht, The Netherlands
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Scheewe TW, Backx FJG, Takken T, Jörg F, van Strater ACP, Kroes AG, Kahn RS, Cahn W. Exercise therapy improves mental and physical health in schizophrenia: a randomised controlled trial. Acta Psychiatr Scand 2013; 127:464-73. [PMID: 23106093 DOI: 10.1111/acps.12029] [Citation(s) in RCA: 149] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/20/2012] [Indexed: 12/13/2022]
Abstract
OBJECTIVE The objective of this multicenter randomised clinical trial was to examine the effect of exercise versus occupational therapy on mental and physical health in schizophrenia patients. METHOD Sixty-three patients with schizophrenia were randomly assigned to 2 h of structured exercise (n = 31) or occupational therapy (n = 32) weekly for 6 months. Symptoms (Positive and Negative Syndrome Scale) and cardiovascular fitness levels (Wpeak and VO2peak ), as assessed with a cardiopulmonary exercise test, were the primary outcome measures. Secondary outcome measures were the Montgomery and Åsberg Depression Rating Scale, Camberwell Assessment of Needs, body mass index, body fat percentage, and metabolic syndrome (MetS). RESULTS Intention-to-treat analyses showed exercise therapy had a trend-level effect on depressive symptoms (P = 0.07) and a significant effect on cardiovascular fitness, measured by Wpeak (P < 0.01), compared with occupational therapy. Per protocol analyses showed that exercise therapy reduced symptoms of schizophrenia (P = 0.001), depression (P = 0.012), need of care (P = 0.050), and increased cardiovascular fitness (P < 0.001) compared with occupational therapy. No effect for MetS (factors) was found except a trend reduction in triglycerides (P = 0.08). CONCLUSION Exercise therapy, when performed once to twice a week, improved mental health and cardiovascular fitness and reduced need of care in patients with schizophrenia.
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Affiliation(s)
- T W Scheewe
- Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands.
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Dekker N, Meijer J, Koeter M, van den Brink W, van Beveren N, Kahn RS, Linszen DH, van Os J, Wiersma D, Bruggeman R, Cahn W, de Haan L, Krabbendam L, Myin-Germeys I. Age at onset of non-affective psychosis in relation to cannabis use, other drug use and gender. Psychol Med 2012; 42:1903-1911. [PMID: 22452790 DOI: 10.1017/s0033291712000062] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
BACKGROUND Cannabis use is associated with an earlier age at onset of psychotic illness. The aim of the present study was to examine whether this association is confounded by gender or other substance use in a large cohort of patients with a non-affective psychotic disorder. METHOD In 785 patients with a non-affective psychotic disorder, regression analysis was used to investigate the independent effects of gender, cannabis use and other drug use on age at onset of first psychosis. RESULTS Age at onset was 1.8 years earlier in cannabis users compared to non-users, controlling for gender and other possible confounders. Use of other drugs did not have an additional effect on age at onset when cannabis use was taken into account. In 63.5% of cannabis-using patients, age at most intense cannabis use preceded the age at onset of first psychosis. In males, the mean age at onset was 1.3 years lower than in females, controlling for cannabis use and other confounders. CONCLUSIONS Cannabis use and gender are independently associated with an earlier onset of psychotic illness. Our findings also suggest that cannabis use may precipitate psychosis. More research is needed to clarify the neurobiological factors that make people vulnerable to this precipitating effect of cannabis.
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Affiliation(s)
- N Dekker
- Department of Psychiatry, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
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Rais M, Cahn W, Schnack HG, Hulshoff Pol HE, Kahn RS, van Haren NEM. Brain volume reductions in medication-naive patients with schizophrenia in relation to intelligence quotient. Psychol Med 2012; 42:1847-1856. [PMID: 22357376 DOI: 10.1017/s0033291712000098] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Global brain abnormalities such as brain volume loss and grey- and white-matter deficits are consistently reported in first-episode schizophrenia patients and may already be detectable in the very early stages of the illness. Whether these changes are dependent on medication use or related to intelligence quotient (IQ) is still debated. METHOD Magnetic resonance imaging scans were obtained for 20 medication-naive patients with first-episode schizophrenia and 26 matched healthy subjects. Volume measures of total brain grey and white matter, third and lateral ventricles and cortical thickness/surface were obtained. Differences between the groups were investigated, taking into account the effect of intelligence. RESULTS Medication-naive patients showed statistically significant reductions in whole-brain volume and cerebral grey- and white-matter volume together with lateral ventricle enlargement compared to healthy subjects. IQ was significantly lower in patients compared to controls and was positively associated with brain and white-matter volume in the whole group. No significant differences in cortical thickness were found between the groups but medication-naive patients had a significantly smaller surface in the left superior temporal pole, Heschl's gyrus and insula compared to controls. CONCLUSIONS Our findings suggest that brain volume loss is present at illness onset, and can be explained by the reduced surface of the temporal and insular cortex. These abnormalities are not related to medication, but IQ.
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Affiliation(s)
- M Rais
- Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
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Collin G, Derks EM, van Haren NEM, Schnack HG, Hulshoff Pol HE, Kahn RS, Cahn W. Symptom dimensions are associated with progressive brain volume changes in schizophrenia. Schizophr Res 2012; 138:171-6. [PMID: 22534419 DOI: 10.1016/j.schres.2012.03.036] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2011] [Revised: 03/19/2012] [Accepted: 03/26/2012] [Indexed: 01/23/2023]
Abstract
BACKGROUND There is considerable variation in progressive brain volume changes in schizophrenia. Whether this is related to the clinical heterogeneity that characterizes the illness remains to be determined. This study examines the relationship between change in brain volume over time and individual variation in psychopathology, as measured by five continuous symptom dimensions (i.e. negative, positive, disorganization, mania and depression). METHODS Global brain volume measurements from 105 schizophrenia patients and 100 healthy comparison subjects, obtained at inclusion and 5-year follow-up, were used in this study. Symptom dimension scores were calculated by factor analysis of clinical symptoms. Using linear regression analyses and independent-samples t-tests, the relationship between symptom dimensions and progressive brain volume changes, corrected for age, gender and intracranial volume, was examined. Antipsychotic medication, outcome and IQ were investigated as potential confounders. RESULTS In patients, the disorganization dimension was associated with change in total brain (β=-0.295, p=0.003) and cerebellar (β=-0.349, p<0.001) volume. Furthermore, higher levels of disorganization were associated with lower IQ, irrespective of psychiatric status (i.e. patient or control). In healthy comparison subjects, disorganization score was not associated with progressive brain volume changes. CONCLUSION Heterogeneity in progressive brain volume changes in schizophrenia is particularly associated with variation in disorganization. Schizophrenia patients with high levels of disorganization exhibit more progressive decrease of global brain volumes and have lower total IQ. We propose that these patients form a phenotypically and biologically homogenous subgroup that may be useful for etiological (e.g., genetic) studies.
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Affiliation(s)
- G Collin
- University Medical Center Utrecht, Department of Psychiatry, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
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Abstract
There is convincing evidence that schizophrenia is characterized by progressive brain volume changes during the course of the illness. In a large longitudinal study it was shown that different age-related trajectories of brain tissue loss are present in patients compared with healthy subjects, suggesting that brain maturation that occurs in the third and fourth decade of life is abnormal in schizophrenia. Studies show that medication intake is an important confounding factor when interpreting brain volume (change) abnormalities. Atypical antipsychotics have been found to be related to smaller decreases in tissue loss. Moreover, independent of antipsychotic medication intake, the brain volume abnormalities appear associated to the outcome of the illness. Before being able to intervene with therapies and prevent the brain from shrinking, one has to understand the underlying mechanism of the progressive changes in the brains of schizophrenia patients.
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Affiliation(s)
- N E van Haren
- Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands.
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Koning JP, Tenback DE, Kahn RS, Vollema MG, Cahn W, van Harten PN. Movement disorders are associated with schizotypy in unaffected siblings of patients with non-affective psychosis. Psychol Med 2011; 41:2141-2147. [PMID: 21426602 DOI: 10.1017/s0033291711000389] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
BACKGROUND Movement disorders and schizotypy are both prevalent in unaffected siblings of patients with schizophrenia and both are associated with the risk of developing psychosis or schizophrenia. However, to date there has been no research into the association between these two vulnerability factors in persons with an increased genetic risk profile. We hypothesized that unaffected siblings of patients with non-affective psychosis have more movement disorders and schizotypy than healthy controls and that these co-occur. METHOD In a cross-sectional design we assessed the prevalence and inter-relationship of movement disorders and schizotypy in 115 unaffected siblings (mean age 27 years, 44% males) and 100 healthy controls (mean age 26 years, 51% males). Movement disorders were measured with the Abnormal Involuntary Movement Scale (AIMS), the Unified Parkinson Disease Rating Scale (UPDRS), the Barnes Akathisia Rating Scale (BARS), and one separate item for dystonia. Schizotypy was assessed with the Structured Interview for Schizotypy--Revised (SIS-R). RESULTS There were significant differences in the prevalence of movement disorders in unaffected siblings versus healthy controls (10% v. 1%, p<0.01) but not in the prevalence of schizotypy. Unaffected siblings with a movement disorder displayed significantly more positive and total schizotypy (p=0.02 and 0.03 respectively) than those without. In addition, dyskinesia correlated with positive schizotypy (r=0.51, p=0.02). CONCLUSIONS The association between movement disorders (dyskinesia in particular) with positive and total schizotypy in unaffected siblings suggests that certain vulnerability factors for psychosis or schizophrenia cluster in a subgroup of subjects with an increased genetic risk of developing the disease.
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Affiliation(s)
- J P Koning
- Psychiatric Centre Symfora Group, Amersfoort, The Netherlands.
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Cahn W. [Innovation in the psychiatric business]. Tijdschr Psychiatr 2011; 53:881-883. [PMID: 22161789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
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Van Haren NEM, Koolschijn PCMP, Cahn W, Schnack HG, Hulshoff Pol HE, Kahn RS. Cigarette smoking and progressive brain volume loss in schizophrenia. Eur Neuropsychopharmacol 2010; 20:454-8. [PMID: 20227855 DOI: 10.1016/j.euroneuro.2010.02.009] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2009] [Revised: 12/21/2009] [Accepted: 02/13/2010] [Indexed: 10/19/2022]
Abstract
It is unknown whether the reported brain loss in schizophrenia can be attributed to the effects of tobacco smoking. 96 Patients (54 smokers/42 non-smokers) and 113 control subjects (35/78) were included in a 5-year longitudinal MRI study. Despite the higher prevalence of smoking behavior and the higher number of cigarettes consumed per day in the patients, cigarette smoking did not explain the excessive cerebral (gray matter) volume decreases in the patients. Moreover, smoking was not associated with brain volume change over time in the healthy subjects. However, extremely heavy smoking may contribute to excessive gray matter volume loss in schizophrenia.
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Affiliation(s)
- N E M Van Haren
- Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Centre Utrecht, The Netherlands.
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Zandi T, Havenaar JM, Smits M, Limburg-Okken AG, van Es H, Cahn W, Algra A, Kahn RS, van den Brink W. First contact incidence of psychotic disorders among native Dutch and Moroccan immigrants in the Netherlands: influence of diagnostic bias. Schizophr Res 2010; 119:27-33. [PMID: 20332065 DOI: 10.1016/j.schres.2010.02.1059] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2009] [Revised: 01/20/2010] [Accepted: 02/19/2010] [Indexed: 10/19/2022]
Abstract
BACKGROUND Several studies have reported increased incidence rates of psychotic disorders among immigrant groups. Surprisingly, the cross-cultural validity of the diagnostic instruments that were used was never tested. AIMS To examine whether the incidence rates of psychotic disorders including schizophrenia among Moroccan immigrants to the Netherlands remain increased when a cultural sensitive diagnostic interview is used. METHOD We compared first contact incidence with a standard and a cultural sensitive version of a diagnostic interview. RESULTS Age and gender adjusted relative risk for psychotic disorders and schizophrenia among Moroccans compared to native Dutch was 7.9 (95% CI 4.7-13.5) and 7.8 (95% CI 4.0-15.2) respectively based on the standard diagnostic interview and 4.2 (95% CI 2.3-7.9) and 1.5 (0.5-4.3) respectively based on the cultural sensitive version the diagnostic interview. CONCLUSION First contact incidence of schizophrenia among Moroccans was no longer significantly higher than among ethnic Dutch people when a cultural sensitive diagnostic procedure was applied.
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Affiliation(s)
- T Zandi
- Altrecht, Institute for Mental Health Care, Utrecht, The Netherlands.
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Cahn W. [Homeless youth and catlike contacts]. Tijdschr Psychiatr 2010; 52:201-203. [PMID: 20503160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
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Mulder CL, van der Gaag M, Bruggeman R, Cahn W, Delespaul PAE, Dries P, Faber G, de Haan L, van der Heijden FMMA, Kempen RW, Mogendorff ESG, Slooff CJ, Sytema S, Wiersma D, Wunderink L, van Os J. [Routine Outcome Monitoring for patients with severe mental illness: a consensus document]. Tijdschr Psychiatr 2010; 52:169-179. [PMID: 20205080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
BACKGROUND Routine outcome monitoring (ROM) means the assessment of the patient's condition on a routine basis using instruments. So far there is no consensus about which instruments should be used for ROM with severely mentally ill patients (ROM-SMI). AIM To reach a consensus about instruments for ROM-SMI in the Netherlands and Belgium and to create possibilities for comparison of ROM data. METHOD This article discusses the consensus document of the National Remission Working Group for ROM in patients with smi and covers the following topics: reasons for ROM-SMI, domains for ROM-SMI and appropriate instruments, logistics and analyses of the data. RESULTS Patients with SMI have problems in several domains. These can be assessed by collecting information about psychiatric symptoms, addiction, somatic problems, general functioning, needs, quality of life and care satisfaction. Potential instruments for ROM-SMI are short, valid, reliable and assess several domains, taking the patient's perspective into account, and have been used in national and international research. The working group advises institutions to choose from a limited set of instruments. After the scores have been aggregated and standardised, comparisons can be drawn. ROM-SMI data can be interpreted more meaningfully, if outcome data are supplemented with data regarding patient characteristics and the treatment interventions already applied. CONCLUSION It should be possible to reach a consensus about instruments for ROM-SMI and the way in which they should be used. The use of identical instruments will lead to improvements in mental health care and create possibilities for comparison (benchmarking) and research.
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Cahn W, Rais M, Stigter FP, van Haren NEM, Caspers E, Hulshoff Pol HE, Xu Z, Schnack HG, Kahn RS. Psychosis and brain volume changes during the first five years of schizophrenia. Eur Neuropsychopharmacol 2009; 19:147-51. [PMID: 19056248 DOI: 10.1016/j.euroneuro.2008.10.006] [Citation(s) in RCA: 81] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2008] [Revised: 10/10/2008] [Accepted: 10/28/2008] [Indexed: 11/17/2022]
Abstract
The underlying mechanisms explaining brain volume changes in schizophrenia are not yet understood, but psychosis might be related to these changes. Forty-eight patients with first-episode schizophrenia underwent Magnetic Resonance Imaging brain scanning at inclusion and after five years. An association was found between longer duration of psychosis, larger gray matter volume decrease and larger ventricular volume increase. These findings strongly suggest that psychosis contributes to brain volume reductions found in schizophrenia.
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Affiliation(s)
- W Cahn
- Rudolf Magnus Institute of Neuroscience, Department of Psychiatry, University Medical Center Utrecht, Utrecht, The Netherlands
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Friedman JI, Vrijenhoek T, Markx S, Janssen IM, van der Vliet WA, Faas BHW, Knoers NV, Cahn W, Kahn RS, Edelmann L, Davis KL, Silverman JM, Brunner HG, van Kessel AG, Wijmenga C, Ophoff RA, Veltman JA. CNTNAP2 gene dosage variation is associated with schizophrenia and epilepsy. Mol Psychiatry 2008; 13:261-6. [PMID: 17646849 DOI: 10.1038/sj.mp.4002049] [Citation(s) in RCA: 243] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
A homozygous mutation of the CNTNAP2 gene has been associated with a syndrome of focal epilepsy, mental retardation, language regression and other neuropsychiatric problems in children of the Old Order Amish community. Here we report genomic rearrangements resulting in haploinsufficiency of the CNTNAP2 gene in association with epilepsy and schizophrenia. Genomic deletions of varying sizes affecting the CNTNAP2 gene were identified in three non-related Caucasian patients. In contrast, we did not observe any dosage variation for this gene in 512 healthy controls. Moreover, this genomic region has not been identified as showing large-scale copy number variation. Our data thus confirm an association of CNTNAP2 to epilepsy outside the Old Order Amish population and suggest that dosage alteration of this gene may lead to a complex phenotype of schizophrenia, epilepsy and cognitive impairment.
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Affiliation(s)
- J I Friedman
- Department of Psychiatry, Mount Sinai School of Medicine, New York, NY, USA
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van Berckel BN, Bossong M, Boellaard R, Kloet R, Schuitemaker A, Caspers E, Luurtsema G, Windhorst A, Cahn W, Lammertsma A, Kahn R. Microglia activation in recent onset schizophrenia: A quantitative (R)-[11C]PK11195 study. Neuroimage 2008. [DOI: 10.1016/j.neuroimage.2008.04.087] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Cahn W, Ramlal D, Bruggeman R, de Haan L, Scheepers FE, van Soest MM, Assies J, Slooff CJ. [Prevention and treatment of somatic complications arising from the use of antipsychotics]. Tijdschr Psychiatr 2008; 50:579-591. [PMID: 18785105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
BACKGROUND Antipsychotics are effective drugs that are prescribed frequently for a large group of patients. However, they also have many side-effects which can lead ultimately to serious somatic complications. These complications fall into various categories: metabolic, cardiovascular, neurobiological, haematological, gastro-intestinal and urogenital. AIM To make an inventory of the side-effects and advise on ways of monitoring and preventing them. method The multidisciplinary working group on somatic complications arising from the use of antipsychotics (Werkgroep Somatische Complicaties) has collected literature on the subject and has discussed it at a number of consensus meetings. results The most frequent somatic complications are described on the basis of specific risk profiles and advice is given on how to identify these complications and on how to treat them when necessary. It is essential to monitor, systematically and regularly, somatic complications arising from the use of antipsychotics; furthermore, polypharmacy should be avoided. The person ultimately responsible for this is the doctor who has prescribed the antipsychotics. In addition, it is important to draw patients' attention to the general rules for a healthy lifestyle: no smoking, a balanced diet and adequate exercise. CONCLUSION It is very important that somatic complications should be monitored carefully and accurately. So far, the Netherlands has no official guidelines on ways to identify and treat somatic complications.
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Affiliation(s)
- W Cahn
- Universitair Medisch Centrum Utrecht
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Cahn W, van Haren NEM, Hulshoff Pol HE, Schnack HG, Caspers E, Laponder DAJ, Kahn RS. Brain volume changes in the first year of illness and 5-year outcome of schizophrenia. Br J Psychiatry 2006; 189:381-2. [PMID: 17012664 DOI: 10.1192/bjp.bp.105.015701] [Citation(s) in RCA: 105] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Progressive brain volume changes have been reported in first-episode schizophrenia, but their relationship to the disease process or to other factors remains unclear. We examined such changes in the first year of illness, and related them to 5-year outcome. Progressive brain volume changes, in particular of grey matter, during the first year of illness were found to be significantly associated with clinical and functional outcome 5 years after the first episode. These findings suggest that early dynamic brain volume changes are related to the disease process and predict the longer-term outcome of schizophrenia.
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Affiliation(s)
- W Cahn
- Department of Psychiatry, University Medical Center Utrecht, Heidelberglaan 100, 3584 GX Utrecht, The Netherlands.
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Cahn W, Hulshoff Pol HE, Caspers E, van Haren NEM, Schnack HG, Kahn RS. Cannabis and brain morphology in recent-onset schizophrenia. Schizophr Res 2004; 67:305-7. [PMID: 14984893 DOI: 10.1016/s0920-9964(03)00003-3] [Citation(s) in RCA: 43] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2002] [Accepted: 12/24/2002] [Indexed: 11/19/2022]
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Hulshoff Pol HE, Schnack HG, Mandl RCW, Cahn W, Collins DL, Evans AC, Kahn RS. Focal white matter density changes in schizophrenia: reduced inter-hemispheric connectivity. Neuroimage 2004; 21:27-35. [PMID: 14741639 DOI: 10.1016/j.neuroimage.2003.09.026] [Citation(s) in RCA: 133] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Gray matter changes have been demonstrated in several regions in schizophrenia. Particularly, the frontal and temporal cortices and amygdala-hippocampal region have been found decreased in volume and density in magnetic resonance imaging (MRI) studies. These abnormalities may reflect an aberrant neuronal network in schizophrenia, suggesting that white matter fibers connecting these regions may also be affected. However, it is unclear if particular white matter areas are (progressively) affected in schizophrenia and if these are related to the gray matter changes. Focal white matter changes in schizophrenia were studied in whole brain magnetic resonance images acquired from 159 patients with schizophrenia or schizophreniform disorder and 158 healthy comparison subjects using voxel-based morphometry. White matter density changes in the patients with schizophrenia were correlated to gray matter density changes and to illness severity. In the patients with schizophrenia, significant decreases in white matter density were found in the genu and truncus of the corpus callosum in the left and right hemisphere, in the right anterior internal capsule and in the right anterior commissure. No interactions between diagnosis and age were found. Increased illness severity was correlated with low density of the corpus callosum and anterior commissure. Decreased corpus callosum density correlated with decreased density of thalamus, lateral inferior frontal and insular gray matter in patients and controls and with decreased density of medial orbitofrontal and superior temporal gyri in patients. Decreased internal capsule and anterior commissure density correlated with increased caudate, and globus pallidus density in patients and controls. These findings suggest aberrant inter-hemispheric connectivity of anterior cortical and sub-cortical brain regions in schizophrenia, reflecting decreased hemispheric specialisation in schizophrenia.
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Affiliation(s)
- Hilleke E Hulshoff Pol
- Neuroscience Division, A01.126, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands.
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Ramsey NF, Koning HAM, Welles P, Cahn W, van der Linden JA, Kahn RS. Excessive recruitment of neural systems subserving logical reasoning in schizophrenia. Brain 2002; 125:1793-807. [PMID: 12135970 DOI: 10.1093/brain/awf188] [Citation(s) in RCA: 66] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Schizophrenic patients generally perform poorly on tasks that address executive functions. According to several imaging studies, the dorsolateral prefrontal cortex is hypoactive in schizophrenic patients during these tasks. It is not, however, clear whether this finding is associated more with impaired performance than with the illness itself, as performance has not been taken into account. We examined brain activity associated with executive function in schizophrenia using an experimental fMRI design that reveals performance effects, enabling correction for performance differences between groups. As this approach has not been reported before, and because brain function can be affected by medication, the effect of antipsychotic medication was also investigated. A task was used that requires logical reasoning, alongside a closely matched control task. Performance was accounted for by including individual responses in fMRI image analyses, as well as in group-wise analysis. Effects of medication were addressed by comparing medication-naïve patients and patients on atypical antipsychotic medication with healthy controls in two separate experiments. Imaging data were analysed with a novel, performance-driven method, but also with a method that is similar to that used in earlier studies, which reported hypofrontality. A modest reduction in performance was found in both patient groups. Brain activity associated with logical reasoning was correlated positively with performance in all groups. In patients on medication, activity did not differ from that in controls after correcting for difference in performance. In contrast, performance-corrected activity was significantly elevated in medication-naïve patients. This study indicates that schizophrenia may be associated with excessive recruitment of brain systems during logical reasoning. Considering the fact that performance was reduced in the patients, we argue that the efficiency of neural communication may be affected by the illness. It appears that in patients on atypical antipsychotic medication, this neural inefficiency is normalized. The study shows that performance is an important factor in the interpretation of differences between schizophrenic patients and controls. The reported association between performance and brain activity is relevant to clinical imaging studies in general.
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Affiliation(s)
- N F Ramsey
- Functional Imaging Section, Department of Psychiatry, University Medical Center of Utrecht, Utrecht, The Netherlands
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